Hierarchical Clustering Using the Arithmetic-Harmonic Cut: Complexity and Experiments

Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This paper introduces a new hierarchical clustering pr...

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Detalles Bibliográficos
Autores principales: Rizzi, Romeo, Mahata, Pritha, Mathieson, Luke, Moscato, Pablo
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997101/
https://www.ncbi.nlm.nih.gov/pubmed/21151943
http://dx.doi.org/10.1371/journal.pone.0014067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997101/
https://www.ncbi.nlm.nih.gov/pubmed/21151943
http://dx.doi.org/10.1371/journal.pone.0014067

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